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| 1 | Basic Concept and Theoretical Study of Condition-based Maintenance for Power Transmission System显示文摘状态检修背景下,为解决电网运行整体与输变电设备个体之间的矛盾和冲突,在已有研究成果基础上,提出电网状态检修的概念,在输变电设备状态检修决策过程中,给出电网故障风险和电网检修风险的定义以及相应的量化表达式。依据设备状态预测,以电网故障风险和电网检修风险的和最小为目标,将设备检修、运行以及电网整体性能在概率引导下相互牵制,形成电网状态检修的数学模型,并给出相应的解决方法。最后,为验证该理论研究的可行性,分别以可靠性测试系统RBTS-BUS6和IEEE-RTS79系统为例,对各种情况进行分析,体现了预期的效果,并期望为电网检修与运行协调决策理论的深入研究提供必要的理论基础。 | LIMing HAN Xueshan YANG Ming GUO Zhihong | 2011 | 中国电机工程学报2011，31，34： | 72 |
| 2 | Multi-dimensional scenario forecast for generation of multiple wind farms显示文摘A novel multi-dimensional scenario forecast approach which can capture the dynamic temporal-spatial interdependence relation among the outputs of multiple wind farms is proposed.In the proposed approach,support vector machine(SVM)is applied for the spot forecast of wind power generation.The probability density function(PDF)of the SVM forecast error is predicted by sparse Bayesian learning(SBL),and the spot forecast result is corrected according to the error expectation obtained.The copula function is estimated using a Gaussian copula-based dynamic conditional correlation matrix regression(DCCMR)model to describe the correlation among the errors.And the multidimensional scenario is generated with respect to the estimated marginal distributions and the copula function.Test results on three adjacent wind farms illustrate the effectiveness of the proposed approach. | Ming YANG You LIN Simeng ZHU Xueshan HAN Hongtao WANG | 2015 | Journal of Modern Power Systems and Clean Energy2015，3，3： | 10 |
| 3 | Integrated generation–consumption dispatch based on compensation mechanism considering demand response behavior显示文摘Demand response(DR) is important to account for behaviors of the demand side to yield an optimal dispatch result. However, it is difficult for energy suppliers to collect customers' private information unless there is an incentive mechanism for customers to do so. Therefore,this paper proposes a new integrated generation–consumption dispatch based on compensation mechanism considering DR behavior. Firstly, in light of the dayahead load forecast data, we deduce the utility function model of different customers. By subtracting generating units' operation cost from consumers' total utility, the dispatch model has a decentralized demand participant structure based on this utility function. The utility function is used to describe consumers' preferences and energy consumption behaviors. Secondly, an effective compensation mechanism is designed to ensure customers to select the level of compensation appropriate to their willingness to curtail load. Finally, a new dispatch model is proposed that incorporates the DR compensation mechanism into the generation–consumption dispatch model. The new model can improve the interaction of generation and consumption,and benefit both the energy supplier and its customers. The proposed model is piecewise linearized and solved by a mixed-integer linear programming method. It is tested on a six-bus system and the IEEE 118-bus system. Simulation results show that the proposed model can realize both maximum social welfare and Pareto optimal results. | Yumin ZHANG Xueshan HAN Li ZHANG Bo XU Mingqiang WANG Ming YANG | 2018 | Journal of Modern Power Systems and Clean Energy2018，6，5： | 4 |
| 4 | Multi-timescale robust dispatching for coordinated automatic generation control and energy storage显示文摘The increasing penetration of renewable energy into power grids is reducing the regulation capacity of automatic generation control(AGC).Thus,there is an urgent demand to coordinate AGC units with active equipment such as energy storage.Current dispatch decision-making methods often ignore the intermittent effects of renewable energy.This paper proposes a two-stage robust optimization model in which energy storage is used to compensate for the intermittency of renewable energy for the dispatch of AGC units.This model exploits the rapid adjustment capability of energy storage to compensate for the slow response speed of AGC units,improve the adjustment potential,and respond to the problems of intermittent power generation from renewable energy.A column and constraint generation algorithm is used to solve the model.In an example analysis,the proposed model was more robust than a model that did not consider energy storage at eliminating the effects of intermittency while offering clear improvements in economy and efficiency. | Yiran Ma Xueshan Han Ming Yang Wei-Jen Lee | 2020 | Global Energy Interconnection2020，3，4： | 4 |
| 5 | Research on the Production Process of Apple Clear Juice Beverage显示文摘[Objective] The study aimed to determine the formula and production process of apple clear juice beverage. [Method] Concentrated apple juice was used as the raw material in this experiment, apple clear juice beverage was produced through dilution, blending, color protection, sterilization and other key processes. By using orthogonal test, the best formula of the apple clear juice beverage was determined, and then the color protection effects of three color protection agents Cys, NaHSO3 and VC on the apple clear juice beverage were compared. [Result] The best formula of the apple clear juice beverage was composed of 0.15% citric acid, 0.20% sodium citrate, 0.06% tannic acid, 6% white sugar and 16% concentrated apple juice. Besides, there was a big difference among the three kinds of color protection agents (Cys, NaHSO3 and VC) in the color protection effects on the apple clear juice beverage. Considering the quality safety of the product, 0.60% VC was chosen as the best color protection agent. [Conclusion] The research could provide theoretical references for using concentrated apple juice to produce apple clear juice beverage. | ZHU Xia HAN Shunyu YANG Xueshan WANG Jin SHENG Wenjun ZHANG Bo | 2012 | Chinese Food Science2012，1，4： | 3 |
| 6 | Multi-stage power source and grid coordination planning method considering grid uniformity显示文摘Given the increasing uncertainties in power supply and load,this paper proposes the concept of power source and grid coordination uniformity planning.In this approach,the standard deviation of the transmission line load rate is considered as the uniformity evaluation index for power source and grid planning.A multi-stage and multi-objective optimization model of the power source and grid expansion planning is established to minimize the comprehensive cost of the entire planning cycle.In this study,the improved particle swarm optimization algorithm and genetic algorithm are combined to solve the model,thus improving the efficiency and accuracy of the solution.The analysis of a simple IEEE Garver’s 6-node system shows that the model and solution method are effective and feasible.Moreover,they are suitable for the coordinated planning of the power source and grid under a diversified nature of power supply and load. | Zhiqi Li Xueshan Han Ming Yang Yiran Ma | 2020 | Global Energy Interconnection2020，3，4： | 1 |
| 7 | Profiling the regional wind power fluctuation in China显示文摘 | YU Dayang LIANG Jun HAN Xueshan | 2011 | Energy Policy2011，39，1： | 1 |
| 8 | Profiling the regional wind power fluctuation in China 显示文摘 | Dayang Yu Jun Liang Xueshan Han etal | 2011 | Energy Policy2011，39，1： | 1 |
| 9 | Dynamic Eco- nomic Dispatch: Feasible and Optimal Solutions 显示文摘 | HAN Xueshan GOOI H B KIRSCHEN D S | 2001 | IEEE Transactions on Power Systems2001，16，1： | 1 |
| 10 | Research on the Production Process of Apple Cl ear Juice Beverage显示文摘 | ZHU Xia HAN Shunyu YANG Xueshan WANG Jin SHENG W enjun ZHANG Bo | | 0，，04： | 1 |
| 11 | Profiling the regional wind power fluctuation in China显示文摘 | YU Dayang LIANG Jun HAN Xueshan | 2011 | Energy Policy2011，39，1： | 1 |
| 12 | A method to assess the regional wind power fluctuation based on the meteorological observing system显示文摘 | YU Dayang HAN Xueshan ZHAO J G | 2010 | International Journal of Green Energy2010，7，5： | 1 |
| 13 | Profiling the regional wind power fluctuation in China显示文摘 | Dayang Yu Jun Liang Xueshan Han | 2011 | Ener- gy Policy2011，39，： | 1 |
| 14 | Distributionally Robust Transmission Expansion Planning Considering Uncertainty of Contingency Probability显示文摘The outage of power system equipment is one of the most important factors that affect the reliability and economy of power system.It is crucial to consider the influence of contingencies elaborately in planning problem.In this paper,a distributionally robust transmission expansion planning model is proposed in which the uncertainty of contingency probability is considered.The uncertainty of contingency probability is described by uncertainty interval based on the outage rate of single equipment.An epigraph reformulation and Benders decomposition are applied to solve the proposed model.Finally,the feasibility and effectiveness of the proposed model are illustrated on the IEEE RTS system and the IEEE 118-bus system. | Weilun Wang Mingqiang Wang Xueshan Han Ming Yang Qiuwei Wu Ran Li | 2022 | Journal of Modern Power Systems and Clean Energy2022，10，4： | 1 |
| 15 | Organic solar cells based on chlorine functionalized benzo[1,2-b:4,5-b′]difuran-benzo[1,2-c:4,5-c′]dithiophene-4,8-dione copolymer with efficiency exceeding 13%显示文摘Benzo[1,2-b:4,5-b′]dithiophene(BDT) has been widely used to construct donor-acceptor(D-A) copolymers in organic solar cells(OSCs). However, benzo[1,2-b:4,5-b′]difuran(BDF), an analogue of BDT, has received less attention than BDT. The photovoltaic performance of BDF copolymers has lagged behind that of BDT copolymers. Here, we designed and synthesized two BDF copolymers, PBF1-C and PBF1-C-2Cl. PBF1-C-2Cl, which is composed of BDF and benzo[1,2-c:4,5-c′]dithiophene-4,8-dione connected by a chlorinated thiophene π-bridge, displays a low-lying highest occupied molecular orbital energy level,which helps in yielding a high open-circuit voltage(Voc) in OSCs. As a result, when blended with Y6, PBF1-C-2Cl-based devices showed a high Voc of 0.83 V and a power conversion efficiency(PCE) of 13.10%. To the best of our knowledge, the PCE of 13.10% is among the highest efficiency values for OSCs based on BDF copolymers. | Linglong Ye Xueshan Li Yunhao Cai Hwa Sook Ryu Guangkai Lu Donghui Wei Xiaobo Sun Han Young Woo Songting Tan Yanming Sun | 2020 | Science China Chemistry2020，63，4： | 0 |
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